class_docstr: Class for the positive reals metric.
  
  It is a particular case in dimension 1
  of the SPD affine-invariant metric
  with a power affine coefficient equal to one.
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docstr: Compute the positive reals exponential map.
  
  Parameters
  ----------
  tangent_vec : array-like, shape=[..., 1]
      Tangent vector at base point.
  base_point : array-like, shape=[..., 1]
      Base point.
  
  Returns
  -------
  exp : array-like, shape=[..., 1]
      Riemannian exponential.
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code: def exp(tangent_vec, base_point):
      """Compute the positive reals exponential map.
  
      Parameters
      ----------
      tangent_vec : array-like, shape=[..., 1]
          Tangent vector at base point.
      base_point : array-like, shape=[..., 1]
          Base point.
  
      Returns
      -------
      exp : array-like, shape=[..., 1]
          Riemannian exponential.
      """
      return base_point * gs.exp(tangent_vec / base_point)
  
file_path: geomstats/geomstats/geometry/positive_reals.py
imports: import geomstats.backend
  from geomstats.geometry.base import VectorSpaceOpenSet
  from geomstats.geometry.euclidean import Euclidean
  from geomstats.geometry.riemannian_metric import RiemannianMetric
label_desc: Use image node_id 2 for calling the PositiveRealsMetric obj's underlying member method code with example usage: obj.exp(tangent_vec, base_point) and returns: unknown